- Responsible for designing and maintaining efficient data pipelines, ETLs, that ensured the accuracy and quality of data throughout the process. - Integrating diverse data sources, developing data transformations and analyses using tools and languages like SQL and Python, and collaborating with product and engineering teams to ensure data was readily available for decision-making. - Monitoring and optimizing data systems, making adjustments to existing pipelines to enhance performance and reliability.

- Responsible for analyzing and interpreting complex data sets to provide actionable insights and support decision-making processes.- Developing and maintaining dashboards and reports using tools such as SQL, Excel, and visualization platforms like Tableau or Power BI, to track key performance indicators and business metrics.- Collaborating with stakeholders to understand their data needs, performing data extraction and manipulation, and ensuring data accuracy and consistency.- Conducting exploratory data analysis to identify trends, patterns, and anomalies, and presenting findings to inform strategic planning and operational improvements.Ensuring data integrity by performing regular quality checks and audits on data sources and outputs.

- Assisted in analyzing and interpreting data to help support business decisions and strategies.- Developed and maintained basic dashboards and reports using tools such as SQL and Excel, and created visualizations using platforms like Tableau or Power BI.- Collaborated with team members and stakeholders to understand their data needs and gathered data from various sources to meet those needs.- Performed routine data cleaning and validation to ensure accuracy and consistency in reports and analyses.- Supported the team in identifying trends and patterns by conducting initial data analysis and helping to present findings.